The Impact of CEO Duality and Financial Performance on CSR Disclosure: Empirical Evidence from State-Owned Enterprises in China
Bibliographic record
Abstract
This paper studies the effects of a firm’s financial performance (FP) and chief executive officer’s (CEO) duality on the quality of corporate social responsibility (CSR) disclosure in the context of state-owned enterprises (SOEs) among Chinese A-share-registered companies. The results depict a negative relationship between CEO duality and CSR disclosure. Our results demonstrate that better-performing firms disclose CSR information more frequently and of higher quality compared with firms with poor financial performance. This role of financial performance in the quality of CSR disclosure is generally valuable in public enterprises; however, it is relatively sluggish in state-owned enterprises the outcomes indicate that the dual leadership structure reduces assessments and renders CEOs less liable to their stakeholders. Therefore, this study offers valuable information and details for regulators to improve corporate governance and CSR from the perspective of stakeholder theory.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".